19건(sidiangongyuan의 저장소) · 인기순
Use when diagnosing or fixing user-reported application bugs. Guides evidence-backed root-cause analysis from symptoms, screenshots, logs, provider failures, background tasks, storage, or desktop lifecycle behavior through a scoped patch and regression tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when implementing or improving a user-facing app workflow. Guides product-grade UX, frontend, backend/API behavior, AI/provider or long-running task states, tests, and end-to-end verification from rough requirements to a shippable feature.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing a desktop or web app update for commit, packaging, installer validation, GitHub publication, release asset upload, or old-release pruning. Protects user data and verifies that published artifacts match the tested build.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a user asks for or clearly wants to be grilled, interviewed, or to stress-test a plan or design, including when they mention "grill me". Resolve material decisions one at a time until scope, success criteria, and resources are explicit.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when planning a source-grounded method overview, architecture, pipeline, system/data-flow, mechanism, or agent-workflow figure for a CS or deep-learning paper. Produces an editable figure brief before image generation or manual redrawing; not for plots, tables, or general prose.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when independently reviewing a research-paper draft before submission, running a mock top-conference panel, assessing readiness or accept/reject risk, or predicting reviewer concerns for venues such as CVPR, ICCV, ECCV, ICLR, NeurIPS, and AAAI. Does not draft or audit author responses after official reviews arrive.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create or revise audience-ready HTML paper presentations for lab meetings and journal clubs. Use when Codex needs source-grounded figures and tables, a fluent live-talk narrative, verified quotations, varied explanatory diagrams, presenter-paced reveals, or browser QA for evidence fidelity, interaction, responsive layout, and print.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Draft or restructure research-paper sections, refine local prose, and audit manuscript-wide consistency. Use for evidence-grounded academic writing and revision, not independent acceptance-risk review or official rebuttal management.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when planning, drafting, revising, compressing, or auditing conference rebuttals and author responses in OpenReview Markdown or PDF. Supports exact reviewer mapping, evidence and experiment integration, guided risk decisions, venue-format validation, and blind reviewer/AC audits.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when research writing, reviews, rebuttals, or related-work planning needs academic evidence. Searches literature, screens candidate papers, audits novelty and missing work, verifies DOI/BibTeX/reference metadata and citation authenticity, and checks whether sources support the stated claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use before writing custom code or a research workflow when a maintained library, tool, skill, or proven pattern may already exist. Start with local reuse and targeted evidence; broaden to external research for new dependencies, new mechanisms, or uncertain external facts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing, implementing, reviewing, or improving web and mobile UI/UX. Consults searchable design data for product patterns, styles, palettes, typography, accessibility, charts, icons, and common frontend stacks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Describe what this skill does and the concrete situations in which an agent should use it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when exploring, continuing, or accepting a deep-learning or computer-science research idea. Converts claims into pilot-first experiment matrices covering diagnostics, failure analysis, authorized execution, evaluation, and paper-story viability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when Codex Desktop sidebar sessions disappear, fail with systemError, or cannot continue after a model_provider switch. Diagnoses and repairs active, non-archived sessions without changing authentication or provider configuration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search, screen, deeply read, synthesize, and publish recent research papers for a user-specified topic, window, count, quality/attention balance, and language. Use for evidence-anchored literature digests, cross-paper comparisons, original-language excerpts, Chinese explanations, guided Feishu setup, or Feishu research reports.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing or publishing a local project as a clean GitHub repository. Covers new repositories, private staging releases, public README cleanup, updates to existing remotes, and research-code packaging without datasets, checkpoints, papers, or generated artifacts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.